cvflann::UniqueResultSet< DistanceType > Class Template Reference

#include "result_set.h"

Inheritance diagram for cvflann::UniqueResultSet< DistanceType >:

Classes
struct	DistIndex

Public Member Functions
	UniqueResultSet ()
virtual void	clear ()=0
virtual void	copy (int *indices, DistanceType *dist, int n_neighbors=-1) const
bool	full () const CV_OVERRIDE
size_t	size () const
virtual void	sortAndCopy (int *indices, DistanceType *dist, int n_neighbors=-1) const
DistanceType	worstDist () const CV_OVERRIDE
Public Member Functions inherited from cvflann::ResultSet< DistanceType >
virtual	~ResultSet ()
virtual void	addPoint (DistanceType dist, int index)=0

Protected Attributes
std::set< DistIndex >	dist_indices_
bool	is_full_
DistanceType	worst_distance_

Detailed Description

template<typename DistanceType>
class cvflann::UniqueResultSet< DistanceType >

Class that holds the k NN neighbors Faster than KNNResultSet as it uses a binary heap and does not maintain two arrays

Constructor & Destructor Documentation

UniqueResultSet()

template<typename DistanceType >

cvflann::UniqueResultSet< DistanceType >::UniqueResultSet ( )

inline

Default cosntructor

Member Function Documentation

clear()

template<typename DistanceType >

virtual void cvflann::UniqueResultSet< DistanceType >::clear ( )

pure virtual

Remove all elements in the set

Implemented in cvflann::KNNRadiusUniqueResultSet< DistanceType >, cvflann::RadiusUniqueResultSet< DistanceType >, and cvflann::KNNUniqueResultSet< DistanceType >.

copy()

template<typename DistanceType >

virtual void cvflann::UniqueResultSet< DistanceType >::copy ( int *  indices, DistanceType *  dist, int  n_neighbors = -1  ) const

inlinevirtual

Copy the set to two C arrays

Parameters

indices	pointer to a C array of indices
dist	pointer to a C array of distances
n_neighbors	the number of neighbors to copy

full()

template<typename DistanceType >

bool cvflann::UniqueResultSet< DistanceType >::full ( ) const

inlinevirtual

Check the status of the set

Returns

true if we have k NN

Implements cvflann::ResultSet< DistanceType >.

Reimplemented in cvflann::RadiusUniqueResultSet< DistanceType >.

size()

template<typename DistanceType >

size_t cvflann::UniqueResultSet< DistanceType >::size ( ) const

inline

The number of neighbors in the set

Returns

sortAndCopy()

template<typename DistanceType >

virtual void cvflann::UniqueResultSet< DistanceType >::sortAndCopy ( int *  indices, DistanceType *  dist, int  n_neighbors = -1  ) const

inlinevirtual

Copy the set to two C arrays but sort it according to the distance first

Parameters

indices	pointer to a C array of indices
dist	pointer to a C array of distances
n_neighbors	the number of neighbors to copy

worstDist()

template<typename DistanceType >

DistanceType cvflann::UniqueResultSet< DistanceType >::worstDist ( ) const

inlinevirtual

The distance of the furthest neighbor If we don't have enough neighbors, it returns the max possible value

Returns

Implements cvflann::ResultSet< DistanceType >.

Reimplemented in cvflann::RadiusUniqueResultSet< DistanceType >.

Member Data Documentation

dist_indices_

template<typename DistanceType >

std::set<DistIndex> cvflann::UniqueResultSet< DistanceType >::dist_indices_

protected

The best candidates so far

is_full_

template<typename DistanceType >

bool cvflann::UniqueResultSet< DistanceType >::is_full_

protected

Flag to say if the set is full

worst_distance_

template<typename DistanceType >

DistanceType cvflann::UniqueResultSet< DistanceType >::worst_distance_

protected

The worst distance found so far

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The documentation for this class was generated from the following file:

• flann/include/opencv2/flann/result_set.h